In today’s fast-evolving tech world, learning Large Language Models (LLMs) is a great way to get started with artificial intelligence (AI). Whether you want to build smart chatbots, improve search engines, or develop AI tools, understanding LLMs is essential. The good news is that several top tech companies offer free LLM online courses for beginners to learn and master these powerful AI models. This article highlights five must-try free LLM online courses from Google, Microsoft, IBM, and ChatGPT designed especially for newbies.
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What Are Free LLM Online Courses?
Free LLM online courses are educational programs available at no cost that teach the basics and advanced concepts of large language models. LLMs are AI systems trained on massive text data to understand and generate human-like language, enabling many AI-powered applications. These courses cover what LLMs are, how they work, prompt engineering techniques, responsible AI practices, and how to build real-world AI applications using popular platforms.
Here are 5 Must-Try Free LLM Online Courses
1. Introduction to Large Language Models – Google Cloud
Google offers an introductory micro-learning course for beginners that explains the fundamentals of LLMs. The course covers important topics such as LLM architecture, use cases, and how to enhance LLM performance. It also includes lessons on responsible AI and ethics, helping learners understand the principles behind building trustworthy AI systems.
This course is available on the Google Cloud Skills Boost platform and includes hands-on modules on prompting and deploying LLMs using Google’s Vertex AI service. It’s perfect for anyone new to AI who wants a well-rounded foundation from a trusted tech leader.
Course Link: Click Here
2. Generative AI for Beginners – Microsoft
Microsoft’s free Generative AI for Beginners course introduces learners to generative AI and LLMs with relatable examples and practical guidance. It covers prompt engineering, which is the skill of crafting effective inputs (prompts) to get the best outputs from LLMs like ChatGPT.
This course is structured into bite-sized lessons that walk learners through building AI chatbots, text and image generators, and other generative AI applications. Microsoft emphasizes responsible AI use, ensuring learners understand ethical considerations while building AI-powered solutions.
Course Link: Click Here
3. Generative AI Engineering with LLMs – IBM
IBM offers a specialization on generative AI engineering that includes free access to course materials on Coursera. This program is designed for aspiring AI developers, data scientists, and machine learning engineers who want to deepen their knowledge of LLMs.
Students learn about model fine-tuning, prompt design, LLM deployment, and monitoring AI applications for biases or errors. The course also explores practical applications of LLMs in industries such as healthcare and finance. Learners can access videos and assignments for free, making it a valuable resource for self-paced study.
Course Link: Click Here
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4. ChatGPT Prompt Engineering for Developers – DeepLearning.AI and OpenAI
A focused course on prompt engineering, taught by esteemed instructors including Andrew Ng, this free program teaches how to use ChatGPT’s API to develop powerful AI applications effectively. Learners discover best practices in writing and iterating prompts to enhance AI performance and creativity.
The course is short but packed with tutorials and code examples, making it highly practical for developers who want to quickly build custom chatbots or AI tools. It is beginner-friendly and emphasizes hands-on learning with real LLM APIs.
Course Link: Click Here
5. LangChain for LLM Application Development
In LangChain for LLM Application Development, you will gain essential skills in expanding the use cases and capabilities of language models in application development using the LangChain framework.
In this course you will learn and get experience with the following topics:
- Models, Prompts and Parsers: calling LLMs, providing prompts and parsing the response
- Memories for LLMs: memories to store conversations and manage limited context space
- Chains: creating sequences of operations
- Question Answering over Documents: apply LLMs to your proprietary data and use case requirements
- Agents: explore the powerful emerging development of LLM as reasoning agents.
This one-hour course, instructed by the creator of LangChain Harrison Chase as well as Andrew Ng will vastly expand the possibilities for leveraging powerful language models, where you can now create incredibly robust applications in a matter of hours.
Course Link: Click Here
Benefits of Free LLM Online Courses for Newbies
Learn from credible sources like Google, Microsoft, IBM, and OpenAI, ensuring up-to-date, high-quality content
Gain foundational AI skills that lead to in-demand career opportunities in AI and machine learning
Practice real-world AI application development using popular APIs and cloud services
Understand ethical AI development and responsible use of large language models
Build a portfolio of AI projects demonstrating your prompt engineering and LLM expertise
Who Should Enroll in These Free LLM Online Courses?
Students and professionals curious about AI and language model technology
Developers and programmers looking to add AI capabilities to their skillset
AI enthusiasts aiming to learn practical uses of ChatGPT and other LLMs
Content creators and marketers interested in leveraging AI for automation
Anyone wanting to explore ethical and responsible AI development practices
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Conclusion
Free LLM online courses are an excellent starting point to learn AI technology in 2025. With these well-structured programs from Google, Microsoft, IBM, DeepLearning.AI, and Cohere, newbies can develop practical skills in large language models and prompt engineering. Joining these courses will open doors to a growing world of AI-powered innovation, helping you stay ahead in the booming AI industry.
Start your AI learning journey today by exploring these free LLM online courses and unlock the potential of large language models!
